Scalar Field
| Private | |
| ISIN | 🆔 |
| Industry | Financial technology |
| Founded 📆 | 2025 |
| Founder 👔 | Amandeep Singh Ramakant Yadav |
Area served 🗺️ | |
| Products 📟 | Quantitative research platform, AI trading agents, market data, backtesting tools |
| Members | |
Number of employees | |
| 🌐 Website | scalarfield |
| 📇 Address | |
| 📞 telephone | |
Scalar Field, also styled as ScalarField, is a financial technology company that develops an AI-enabled trading and quantitative research platform. The platform is designed for market research, backtesting, financial data analysis, and the creation of brokerage-connected trading agents across asset classes including equities, options, prediction markets, and tokenized assets.[1]
Scalar Field was founded in 2025 by Amandeep Singh and Ramakant Yadav. The company was part of Y Combinator's Spring 2025 batch.[2]
History
Scalar Field was founded by Amandeep Singh and Ramakant Yadav. Singh previously worked as a trader at Tower Research and Goldman Sachs. Ramakant Yadav is a second-time founder and former Microsoft engineer.[2]
In January 2025, AI Street published a demo of Scalar Field's agent-based market analysis platform. The article described the platform as using multiple agents to process financial-analysis queries and noted Singh's background in trading technology and academia.[3]
The company participated in Y Combinator's Spring 2025 batch. Its Y Combinator profile described Scalar Field as building an "agentic trading desk" and reported that the product allowed users to create agents that research data, backtest strategies, monitor market events, and trigger trades when specified conditions are met.[2]
Product
Scalar Field provides a quantitative research platform that combines financial datasets, compute infrastructure, and trading tools. Its documentation describes the platform as allowing users to access financial datasets, build and backtest strategies, and deploy them to live brokerages through a Python library called scalarlib.[4]
The platform supports research and trading workflows including market data analysis, backtesting, strategy creation, brokerage integrations, and automated strategy agents. Scalar Field's documentation states that users can trade manually through chat or automatically using strategy agents, with supported venues including Alpaca, Polymarket, Jupiter DEX, and other brokerages or trading venues.[5]
Scalar Field lists market data coverage including equities, indices, crypto, forex, options, earnings, economic releases, insider trades, congressional trades, institutional holdings, and prediction-market data.[4]
Agentic trading strategies
Scalar Field also provides pre-built trading strategies and market monitors. The company describes these as AI agents that can automate screening, analysis, and execution across supported assets and venues.[6]
Examples listed on the platform include strategies based on public market commentary, political-news momentum, institutional 13F filings, and multi-signal equity portfolios.[6]
Reception and coverage
In June 2025, TechCrunch included Scalar Field in a list of 11 startups from Y Combinator's Demo Day that investors were discussing. The publication described the company as an "AI-powered Bloomberg terminal" and cited co-founder Amandeep Singh as saying that financial terminals are dashboards rather than thinking tools.[7]
Business model
Scalar Field operates as a web-based subscription platform. Its pricing page describes paid tiers including Pro, Ultra, and Enterprise plans, with features such as automated strategies, monitors, options data, equities and crypto data, Polymarket data, economic data, news, fundamentals, and brokerage integrations.[8]
Its terms of use state that the platform uses credits or allowances for features such as proprietary datasets, screeners, AI processing, and compute workloads.[9]
Legal and risk disclosures
Scalar Field's terms of use state that the platform does not provide financial advice and that users should independently verify AI-generated insights before making financial decisions.[9]
References
- ↑ "Scalar Field | AI Agentic Trading Desk". ScalarField. Retrieved 23 June 2026.
- ↑ 2.0 2.1 2.2 "Scalar Field: Your Agentic Trading Desk". Y Combinator. Retrieved 23 June 2026.
- ↑ Robinson, Matt (25 January 2025). "AI Agents in Market Analysis with Scalar Field". AI Street. Retrieved 23 June 2026.
- ↑ 4.0 4.1 "Introduction". ScalarField Docs. Retrieved 23 June 2026.
- ↑ "Trading Overview". ScalarField Docs. Retrieved 23 June 2026.
- ↑ 6.0 6.1 "Agentic Trading Strategies & Market Monitors". ScalarField. Retrieved 23 June 2026.
- ↑ Temkin, Marina (13 June 2025). "11 startups from YC Demo Day that investors are talking about". TechCrunch. Retrieved 23 June 2026.
- ↑ "Pricing". ScalarField. Retrieved 23 June 2026.
- ↑ 9.0 9.1 "Terms of Use". ScalarField. 21 April 2026. Retrieved 23 June 2026.
External links
Category:Financial technology companies Category:Artificial intelligence companies Category:Y Combinator companies
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